Amazon Jobs Scraper

The NanoScrape Amazon Jobs Scraper is an Apify actor that extracts job listings from amazon.jobs. It returns 34 fields per result including title, location, city, description, company_name, priced at $1/1k job, with no API key or monthly subscription required.

Scrape Amazon job postings from amazon.jobs: title, team, job category, all locations, posting date, full description and basic and preferred qualifications (source platform). Filter by keyword, country, location and category. Pay-per-result.

Open on Apify →
Pricing
$1.00 / 1,000 job
Runtime
Cloud (Apify)
Coverage
US

What you can scrape — 34 fields per result

FieldTypeExampleGroupFill %
idstringd5c58419-c536-43bf-bb03-7bddac71e980Core100%
job_idstring10589576Core100%
titlestringSr. Silicon & Systems EngineerCore100%
job_urlstringhttps://www.amazon.jobs/en/jobs/10589576/sr-silicon-systems-engineerCore100%
source_urlstringhttps://www.amazon.jobs/en/jobs/10589576/sr-silicon-systems-engineerCore100%
source_platformstringamazon.jobsCore100%
apply_urlstring | nullhttps://account.amazon.jobs/jobs/10589576/applyCore100%
company_namestring | nullAmazon Innovation Center (Shenzhen) Company Limited Shanghai BranchCore100%
locationstring | nullCN, 31, ShanghaiLocation100%
normalized_locationstring | nullShanghai, CHNLocation100%
citystring | nullShanghaiLocation100%
country_codestring | nullCHNLocation100%
country_code_iso2string | nullCNLocation100%
countrystring | nullPeople's Republic of ChinaLocation100%
all_locationsarray[{"location": "CN, 31, Shanghai", "normalized_location": "Shanghai, CHN", "city"Location100%
descriptionstring | nullAmazon Devices is an inventive research and development company that designs and develo...Description100%
description_htmlstring | nullAmazon Devices is an inventive research and development company that designs and develo...Description100%
basic_qualificationsstring | null- Bachelor's degree in Electrical Engineering or a related field - - Extensive experien...Requirements100%
basic_qualifications_htmlstring | null- Bachelor's degree in Electrical Engineering or a related field<br/>- - Extensive expe...Requirements100%
preferred_qualificationsstring | null- Master's degree in Electrical Engineering or a related field - - Experience developin...Requirements100%
preferred_qualifications_htmlstring | null- Master's degree in Electrical Engineering or a related field<br/>- - Experience devel...Requirements100%
business_categorystring | nullalexa-and-amazon-devicesMetadata100%
job_categorystring | nullSoftware DevelopmentMetadata100%
posted_atstring | null2026-10-27Metadata100%
scraped_atstring2026-10-27T07:34:09ZMetadata100%
job_familystring | nullASICOther100%
teamstring | nullHardware and eeroOther100%
team_slugstring | nullteam-hardware-and-eeroOther100%
job_schedule_typestring | nullfull-timeOther100%
is_internbooleanfalseOther100%
state_codestring | null31Other100%
statestring | null(populated when data available)Other75%
updated_timestring | nullabout 3 hoursOther100%
search_querystring | null(populated when data available)Other—

Input example — showcase (full detail)

{
  "searchQueries": [
    "data scientist",
    "solutions architect",
    "warehouse associate"
  ],
  "sortBy": "recent",
  "maxResultsPerQuery": 10,
  "maxResults": 30
}

Output example — real dataset item (PII scrubbed)

{
  "id": "d5c58419-c536-43bf-bb03-7bddac71e980",
  "job_id": "10589576",
  "title": "Sr. Silicon & Systems Engineer",
  "job_url": "https://www.amazon.jobs/en/jobs/10589576/sr-silicon-systems-engineer",
  "source_url": "https://www.amazon.jobs/en/jobs/10589576/sr-silicon-systems-engineer",
  "source_platform": "amazon.jobs",
  "apply_url": "https://account.amazon.jobs/jobs/10589576/apply",
  "company_name": "Amazon Innovation Center (Shenzhen) Company Limited Shanghai Branch",
  "business_category": "alexa-and-amazon-devices",
  "job_category": "Software Development",
  "job_family": "ASIC",
  "team": "Hardware and eero",
  "team_slug": "team-hardware-and-eero",
  "job_schedule_type": "full-time",
  "is_intern": false,
  "location": "CN, 31, Shanghai",
  "normalized_location": "Shanghai, CHN",
  "city": "Shanghai",
  "state_code": "31",
  "state": null,
  "country_code": "CHN",
  "country_code_iso2": "CN",
  "country": "People's Republic of China",
  "all_locations": [
    {
      "location": "CN, 31, Shanghai",
      "normalized_location": "Shanghai, CHN",
      "city": "Shanghai",
      "state": null,
      "region": "31",
      "country_code": "CHN",
      "country_code_iso2": "CN",
      "country": "People's Republic of China",
      "type": "ONSITE",
      "latitude": 31.25516,
      "longitude": 121.4747,
      "building_codes": [
        "SHA25"
      ]
    }
  ],
  "posted_at": "2026-10-27",
  "updated_time": "about 3 hours",
  "description": "Amazon Devices is an inventive research and development company that designs and develops high-profile devices like the Kindle family of products, Fire Tablets, Alexa, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in contributing to its next generation SOC’s for the machine learning enabled consumer products.\n\nAs a Sr. Silicon & Systems Engineer, in Silicon Validation team, you will play a pivotal role in deploying SOCs in development and production phases of products by collaborating with multi-functional teams and leading the RCA (Root Cause Analysis) activities for failures pointing to silicon. You will be responsible for developing, maintaining test code/methodology to debug silicon/SOC issues and drive root cause failure analysis.\n\nKey job responsibilities\n\n- Drive RCA(Root Cause Analysis) activities for failures pointing to silicon, in development and production phases of the product by collaborating with multi-functional teams.\n- Develop & Drive qualification activities for peripheral parts like memories & storage based on customer (product team) requirements.\n- Support product teams with appropriate design collateral. Update and maintain the design collateral as needed. Offering timely design reviews from a silicon standpoint.\n- Risk Management : Drive containment, risk assessment & mitigation activities related to silicon/hardware failures.\n- Craft integration/debug strategy for new HW features in system level, including specifications, validation plans, debug methodology as needed, across (but not limited to) Validation and ATE environments.",
  "description_html": "Amazon Devices is an inventive research and development company that designs and develops high-profile devices like the Kindle family of products, Fire Tablets, Alexa, Fire TV, Health Wellness, Amazon Echo & Astro products.  This is an exciting opportunity to join Amazon in contributing to its next generation SOC’s for the machine learning enabled consumer products. <br/><br/>As a Sr. Silicon & Systems Engineer, in Silicon Validation team,  you will play a pivotal role in deploying SOCs in development and production phases of products by collaborating with multi-functional teams and leading the RCA (Root Cause Analysis) activities for failures pointing to silicon.  You will be responsible for developing, maintaining test code/methodology to debug silicon/SOC issues and drive root cause failure analysis.<br/><br/>Key job responsibilities<br/><br/>- Drive RCA(Root Cause Analysis) activities for failures pointing to silicon, in development and production phases of the product by collaborating with multi-functional teams. <br/>- Develop & Drive qualification activities for peripheral parts like memories & storage based on customer (product team) requirements. <br/>- Support product teams with appropriate design collateral. Update and maintain the design collateral as needed. Offering timely design reviews from a silicon standpoint. <br/>- Risk Management : Drive containment, risk assessment & mitigation activities related to silicon/hardware failures. <br/>- Craft integration/debug strategy for new HW features in system level, including specifications, validation plans, debug methodology as needed, across (but not limited to) Validation and ATE environments.",
  "basic_qualifications": "- Bachelor's degree in Electrical Engineering or a related field\n- - Extensive experience in the Semiconductor industry.\n- - Good understanding of ARM V8/V9 Architecture, familiar with Multimedia SoC key hardware features.\n- - Experience with the system engineering, expertise in Linux OS low layer interactive with the Silicon and related debug methodology.\n- - Experience with SOC bring-up and post-silicon validation.\n- - Experience leading technical initiatives and key deliverables.\n- - Experience working with software teams to tightly define the HW/SW interface.",
  "basic_qualifications_html": "- Bachelor's degree in Electrical Engineering or a related field<br/>- - Extensive experience in the Semiconductor industry.<br/>- - Good understanding of ARM V8/V9 Architecture, familiar with Multimedia SoC key hardware features.<br/>- - Experience with the system engineering, expertise in Linux OS low layer interactive with the Silicon and related debug methodology.<br/>- - Experience with SOC bring-up and post-silicon validation.<br/>- - Experience leading technical initiatives and key deliverables.<br/>- - Experience working with software teams to tightly define the HW/SW interface.",
  "preferred_qualifications": "- Master's degree in Electrical Engineering or a related field\n- - Experience developing products for volume production and resolving the issue happen in mass production phase.\n- - Experience in Bare Metal Environment development, including linker scripts, page tables and NVIC.\n- - Experience in high-speed interface(like DDR/HDMI/EMMC/USB/PCIe) specification and enabling/debugging.\n- - Experience in practical semiconductor design work including full-chip and subsystem integration.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.",
  "preferred_qualifications_html": "- Master's degree in Electrical Engineering or a related field<br/>- - Experience developing products for volume production and resolving the issue happen in mass production phase.<br/>- - Experience in Bare Metal Environment development, including linker scripts, page tables and NVIC.<br/>- - Experience in high-speed interface(like DDR/HDMI/EMMC/USB/PCIe) specification and enabling/debugging.<br/>- - Experience in practical semiconductor design work including full-chip and subsystem integration.<br/><br/>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href=\"https://amazon.jobs/content/en/how-we-hire/accommodations\">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.",
  "search_query": null,
  "scraped_at": "2026-10-27T07:34:09Z"
}

Cost math

Priced at $0.001 per job ($1.00 per 1,000). Descriptions and qualifications are included; jobs found by several searches are charged once. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Input

Put keywords in searchQueries, one search each; leave it empty to list all open jobs. Narrow the search with country (names or codes such as DE), location (for example Seattle or Berlin, Germany) and category (for example Software Development). sortBy is recent (default) or relevant, and postedWithinDays keeps only recent postings. maxResultsPerQuery (default 10) caps each search and maxResults caps the whole run. You can also paste amazon.jobs search pages or single job pages into startUrls. Each search returns at most 10,000 jobs, so split very large pulls by country or category. An empty input returns the 5 newest jobs.

Integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run amazon-jobs-scraper in your browser - no code, no install. In the Apify console you get:

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

  1. Sign up for a free Apify account (Google, GitHub, or email).
  2. Go to Settings → Integrations → API tokens.
  3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~amazon-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'
// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/amazon-jobs-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/amazon-jobs-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)
// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/amazon-jobs-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();
// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/amazon-jobs-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/amazon-jobs-scraper

Example prompt once connected:

"Use <code>amazon-jobs-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

  1. Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
  2. Set Actor to santamaria-automations/amazon-jobs-scraper.
  3. Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).
  1. Create a new Zap with any trigger.
  2. Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~amazon-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Body: your input JSON. Content-Type: application/json.
  1. Create a new scenario.
  2. Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~amazon-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
  3. Parse the response with a JSON module to iterate items downstream.
  1. Create a new workflow.
  2. Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~amazon-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Access steps.http.$return_value in subsequent steps.
  1. Install the API Connector plugin.
  2. Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~amazon-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
  3. Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the amazon-jobs-scraper cost?

Priced at $0.001 per job ($1.00 per 1,000). Descriptions and qualifications are included; jobs found by several searches are charged once. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

34 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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